| Exploiting cognitive structure for adaptive learning Q Liu, S Tong, C Liu, H Zhao, E Chen, H Ma, S Wang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 123 | 2019 |
| Structure-based knowledge tracing: An influence propagation view S Tong, Q Liu, W Huang, Z Hunag, E Chen, C Liu, H Ma, S Wang 2020 IEEE international conference on data mining (ICDM), 541-550, 2020 | 83 | 2020 |
| A radical-aware attention-based model for chinese text classification H Tao, S Tong, H Zhao, T Xu, B Jin, Q Liu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5125-5132, 2019 | 58 | 2019 |
| Item Response Ranking for Cognitive Diagnosis. S Tong, Q Liu, R Yu, W Huang, Z Huang, ZA Pardos, W Jiang IJCAI, 1750-1756, 2021 | 20 | 2021 |
| Hgkt: Introducing hierarchical exercise graph for knowledge tracing H Tong, Z Wang, Y Zhou, S Tong, W Han, Q Liu arXiv preprint arXiv:2006.16915, 2020 | 18 | 2020 |
| Ideography leads us to the field of cognition: A radical-guided associative model for chinese text classification H Tao, S Tong, K Zhang, T Xu, Q Liu, E Chen, M Hou Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13898 …, 2021 | 13 | 2021 |
| Introducing problem schema with hierarchical exercise graph for knowledge tracing H Tong, Z Wang, Y Zhou, S Tong, W Han, Q Liu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 11 | 2022 |
| Incremental cognitive diagnosis for intelligent education S Tong, J Liu, Y Hong, Z Huang, L Wu, Q Liu, W Huang, E Chen, D Zhang Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 9 | 2022 |
| Chinese embedding via stroke and glyph information: A dual-channel view H Tao, S Tong, T Xu, Q Liu, E Chen arXiv preprint arXiv:1906.04287, 2019 | 9 | 2019 |
| Guided Attention Network for Concept Extraction. S Fang, Z Huang, M He, S Tong, X Huang, Y Liu, J Huang, Q Liu IJCAI, 1449-1455, 2021 | 7 | 2021 |
| Exploiting knowledge hierarchy for finding similar exercises in online education systems W Tong, S Tong, W Hunag, L He, J Ma, Q Liu, E Chen 2020 IEEE International Conference on Data Mining (ICDM), 1298-1303, 2020 | 7 | 2020 |
| Stan: adversarial network for cross-domain question difficulty prediction Y Huang, W Huang, S Tong, Z Huang, Q Liu, E Chen, J Ma, L Wan, ... 2021 IEEE International Conference on Data Mining (ICDM), 220-229, 2021 | 6 | 2021 |
| An efficient and robust semantic hashing framework for similar text search L He, Z Huang, E Chen, Q Liu, S Tong, H Wang, D Lian, S Wang ACM Transactions on Information Systems 41 (4), 1-31, 2023 | 5 | 2023 |
| Towards a holistic understanding of mathematical questions with contrastive pre-training Y Ning, Z Huang, X Lin, E Chen, S Tong, Z Gong, S Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13409 …, 2023 | 4 | 2023 |
| Exploiting non-interactive exercises in cognitive diagnosis F Yao, Q Liu, M Hou, S Tong, Z Huang, E Chen, J Sha, S Wang Interaction 100 (200), 300, 2023 | 3 | 2023 |
| Tipster: A topic-guided language model for topic-aware text segmentation Z Gong, S Tong, H Wu, Q Liu, H Tao, W Huang, R Yu International Conference on Database Systems for Advanced Applications, 213-221, 2022 | 3 | 2022 |
| Enhanced representation learning for examination papers with hierarchical document structure Y Ma, S Tong, Y Liu, L Wu, Q Liu, E Chen, W Tong, Z Yan Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 3 | 2021 |
| Hmcnet: A general approach for hierarchical multi-label classification W Huang, E Chen, Q Liu, H Xiong, Z Huang, S Tong, D Zhang IEEE Transactions on Knowledge and Data Engineering, 2022 | 2 | 2022 |
| Learning from ideography and labels: A schema-aware radical-guided associative model for chinese text classification H Tao, G Zhu, E Chen, S Tong, K Zhang, T Xu, Q Liu, YS Ong IEEE Transactions on Knowledge and Data Engineering, 2022 | 2 | 2022 |
| Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System S Lei, W Huang, S Tong, Q Liu, Z Huang, E Chen, Y Su 2021 IEEE International Conference on Big Knowledge (ICBK), 1-8, 2021 | 2 | 2021 |
